Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.102
IF3.102
IF 5-year value: 3.284
IF 5-year
3.284
CiteScore value: 5.1
CiteScore
5.1
SNIP value: 1.37
SNIP1.37
IPP value: 3.21
IPP3.21
SJR value: 1.005
SJR1.005
Scimago H <br class='widget-line-break'>index value: 90
Scimago H
index
90
h5-index value: 42
h5-index42
Download
Short summary
The paper discusses the use of rockfall modelling software and photogrammetry applied to images acquired by RPAS to provide support to civil protection agencies during emergency response. The paper focuses on a procedure that was applied to define the residual rockfall risk for a road that was hit by an earthquake-triggered rockfall that occurred during the seismic sequence that hit central Italy on 24 August 2016. Road reopening conditions were decided based on the results of this study.
Altmetrics
Final-revised paper
Preprint
NHESS | Articles | Volume 19, issue 2
Nat. Hazards Earth Syst. Sci., 19, 325–335, 2019
https://doi.org/10.5194/nhess-19-325-2019
Nat. Hazards Earth Syst. Sci., 19, 325–335, 2019
https://doi.org/10.5194/nhess-19-325-2019

Brief communication 07 Feb 2019

Brief communication | 07 Feb 2019

Brief communication: Remotely piloted aircraft systems for rapid emergency response: road exposure to rockfall in Villanova di Accumoli (central Italy)

Michele Santangelo et al.

Related authors

Criteria for the optimal selection of remote sensing optical images to map event landslides
Federica Fiorucci, Daniele Giordan, Michele Santangelo, Furio Dutto, Mauro Rossi, and Fausto Guzzetti
Nat. Hazards Earth Syst. Sci., 18, 405–417, https://doi.org/10.5194/nhess-18-405-2018,https://doi.org/10.5194/nhess-18-405-2018, 2018
Short summary
An approach to reduce mapping errors in the production of landslide inventory maps
M. Santangelo, I. Marchesini, F. Bucci, M. Cardinali, F. Fiorucci, and F. Guzzetti
Nat. Hazards Earth Syst. Sci., 15, 2111–2126, https://doi.org/10.5194/nhess-15-2111-2015,https://doi.org/10.5194/nhess-15-2111-2015, 2015
Short summary

Related subject area

Landslides and Debris Flows Hazards
Modelling landslide hazards under global changes: the case of a Pyrenean valley
Séverine Bernardie, Rosalie Vandromme, Yannick Thiery, Thomas Houet, Marine Grémont, Florian Masson, Gilles Grandjean, and Isabelle Bouroullec
Nat. Hazards Earth Syst. Sci., 21, 147–169, https://doi.org/10.5194/nhess-21-147-2021,https://doi.org/10.5194/nhess-21-147-2021, 2021
Short summary
Debris flows recorded in the Moscardo catchment (Italian Alps) between 1990 and 2019
Lorenzo Marchi, Federico Cazorzi, Massimo Arattano, Sara Cucchiaro, Marco Cavalli, and Stefano Crema
Nat. Hazards Earth Syst. Sci., 21, 87–97, https://doi.org/10.5194/nhess-21-87-2021,https://doi.org/10.5194/nhess-21-87-2021, 2021
Short summary
The potential of Smartstone probes in landslide experiments: how to read motion data
J. Bastian Dost, Oliver Gronz, Markus C. Casper, and Andreas Krein
Nat. Hazards Earth Syst. Sci., 20, 3501–3519, https://doi.org/10.5194/nhess-20-3501-2020,https://doi.org/10.5194/nhess-20-3501-2020, 2020
Short summary
INSPIRE standards as a framework for artificial intelligence applications: a landslide example
Gioachino Roberti, Jacob McGregor, Sharon Lam, David Bigelow, Blake Boyko, Chris Ahern, Victoria Wang, Bryan Barnhart, Clinton Smyth, David Poole, and Stephen Richard
Nat. Hazards Earth Syst. Sci., 20, 3455–3483, https://doi.org/10.5194/nhess-20-3455-2020,https://doi.org/10.5194/nhess-20-3455-2020, 2020
Short summary
New global characterisation of landslide exposure
Robert Emberson, Dalia Kirschbaum, and Thomas Stanley
Nat. Hazards Earth Syst. Sci., 20, 3413–3424, https://doi.org/10.5194/nhess-20-3413-2020,https://doi.org/10.5194/nhess-20-3413-2020, 2020
Short summary

Cited articles

Agliardi, F. and Crosta, G. B.: High resolution three-dimensional numerical modelling of rockfalls, Int. J. Rock Mech. Min., 40, 455–471, https://doi.org/10.1016/S1365-1609(03)00021-2, 2003. a
Baldo, M., Bicocchi, C., Chiocchini, U., Giordan, D., and Lollino, G.: LIDAR monitoring of mass wasting processes: The Radicofani landslide, Province of Siena, Central Italy, Geomorphology, 105, 193–201, https://doi.org/10.1016/j.geomorph.2008.09.015, 2009. a
Boccardo, P., Chiabrando, F., Dutto, F., Tonolo, F., and Lingua, A.: UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications, Sensors, 15, 15717–15737, https://doi.org/10.3390/s150715717, 2015. a, b
Budetta, P.: Assessment of rockfall risk along roads, Nat. Hazards Earth Syst. Sci., 4, 71–81, https://doi.org/10.5194/nhess-4-71-2004, 2004. a
Cacciuni, A., Centamore, E., Di Stefano, R., and Dramis, F.: Evoluzione morfotettonica della conca di Amatrice, Studi Geologici Camerti, spec 1995/2, 95–100, 1995. a
Publications Copernicus
Download
Short summary
The paper discusses the use of rockfall modelling software and photogrammetry applied to images acquired by RPAS to provide support to civil protection agencies during emergency response. The paper focuses on a procedure that was applied to define the residual rockfall risk for a road that was hit by an earthquake-triggered rockfall that occurred during the seismic sequence that hit central Italy on 24 August 2016. Road reopening conditions were decided based on the results of this study.
Citation
Altmetrics
Final-revised paper
Preprint